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Background: Studies of period changes in educational inequalities in mortality have shown important changes over time. It is unknown whether a birth cohort perspective paints the same picture. We compared changes in inequalities in mortality between a period and cohort perspective and explored mortality trends among low-educated and high-educated birth cohorts., Data and Methods: In 14 European countries, we collected and harmonised all-cause and cause-specific mortality data by education for adults aged 30-79 years in the period 1971-2015. Data reordered by birth cohort cover persons born between 1902 and 1976. Using direct standardisation, we calculated comparative mortality figures and resulting absolute and relative inequalities in mortality between low educated and high educated by birth cohort, sex and period., Results: Using a period perspective, absolute educational inequalities in mortality were generally stable or declining, and relative inequalities were mostly increasing. Using a cohort perspective, both absolute and relative inequalities increased in recent birth cohorts in several countries, especially among women. Mortality generally decreased across successive birth cohorts among the high educated, driven by mortality decreases from all causes, with the strongest reductions for cardiovascular disease mortality. Among the low educated, mortality stabilised or increased in cohorts born since the 1930s in particular for mortality from cardiovascular diseases, lung cancer, chronic obstructive pulmonary disease and alcohol-related causes., Conclusions: Trends in mortality inequalities by birth cohort are less favourable than by calendar period. In many European countries, trends among more recently born generations are worrying. If current trends among younger birth cohorts persist, educational inequalities in mortality may further widen., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Area deprivation is associated with adverse mental health outcomes. In Denmark, urban regeneration is being used to dissolve concentrated socio-economic area deprivation and ethnic segregation. However, evidence on how urban regeneration affects mental health of residents is ambiguous partly due to methodological challenges. This study investigates if urban regeneration affects users of antidepressant and sedative medication among residents in an exposed and control social housing area in Denmark., Methods: Using a longitudinal quasi-experimental design we measured users of antidepressant and sedative medication in one area undergoing urban regeneration compared with a control area. We measured prevalent and incident users from 2015 to 2020 among non-Western and Western women and men and used logistic regression to measure annual change in users over time. Analyses are adjusted for a covariate propensity score estimated using baseline socio-demographic characteristics and general practitioner contacts., Results: Urban regeneration did not affect the proportion of prevalent nor incident users of antidepressant and sedative medication. However, levels were high in both areas compared with the national average. Descriptive levels of prevalent and incident users were generally lower among residents in the exposed area compared with the control area for most years and stratified groups confirmed by the logistic regression analyses., Conclusion: Urban regeneration was not associated with users of antidepressant or sedative medication. We found lower levels of antidepressant and sedative medication users in the exposed area compared with the control area. More studies are needed to investigate the underlying reasons for these findings, and whether they could be related to underuse., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Income has seldom been used to study social differences in disability-free life expectancy (DFLE). This study investigates income inequalities in life expectancy and DFLE at age 50 and 65 and estimates the contributions from the mortality and disability effects on the differences between income groups., Methods: Life tables by income quintile were constructed using Danish register data on equivalised disposable household income and mortality. Data on activity limitations from the Danish part of the Survey of Health, Ageing and Retirement in Europe (SHARE) was linked to register data on income. For each income quintile, life table data and prevalence data of no activity limitations from SHARE were combined to estimate DFLE. Differences between income quintiles in DFLE were decomposed into contributions from mortality and disability effects., Results: A clear social gradient was seen for life expectancy as well as DFLE. Life expectancy at age 50 differed between the highest and lowest income quintiles by 8.6 years for men and 5.5 years for women. The difference in DFLE was 12.8 and 11.0 years for men and women, respectively. The mortality effect from the decomposition contributed equally for men and slightly more for women to the difference in expected lifetime without than with activity limitations. The disability effect contributed by 8.5 years for men and 8.0 years for women., Conclusion: The income inequality gradient was steeper for DFLE than life expectancy. Since income inequality increases, DFLE by income is an important indicator for monitoring social inequality in the growing share of elderly people., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Social inequality in ischaemic heart disease has been related to socioeconomic position in childhood, early adulthood and late adulthood. However, the impact of relative level of accumulated income periods across adult life course and the potential gender and age differences have not been investigated. The aim was to investigate the association between relative level of accumulated income across the life course and acute myocardial infarction (AMI) from age 60+ years and to study if the associations differ by gender and in different age groups (30-39 years, 40-49 years and 50-59 years)., Methods: All Danes born 1935-1954 (N=1 235 139) were followed up in registers for incident AMI (42 669 cases). The accumulated proportional deviation from median equivalised income (APDMEI) for each gender/age/calendar year strata was constructed and divided in quartiles. The associations were analysed by means of Cox's proportional hazard models., Results: Among men, those in the lowest APDMEI quartile had an HR 1.40 (1.35-1.45) of AMI compared with the highest quartile. Those in the second and third highest quartiles had HR of 1.24 (1.20-1.28) and 1.14 (1.10-1.18), respectively. Among women, the lowest quartile had an HR of 1.78 (1.69-1.88), the second 1.45 (1.37-1.53) and the third 1.19 (1.13-1.26). The social gradient was similar across the different age groups., Conclusion: The risk of AMI increased with lower levels of relative accumulated income across the life course. While men generally had a higher risk of AMI, the social gradient was steeper in women. There was no indication of a specific sensitive age period for exposure to relative level of accumulated income., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Denmark and Sweden have implemented reforms that narrowed disability benefit eligibility criteria. Such reforms in combination with increasing work demands create a pincer movement where in particular those with moderate health problems might be unable to comply with work demands, but still not qualify for permanent disability benefits, ending up with temporary means-tested or no benefits. This paper examines whether this actually happened before and after the reforms., Methods: The Survey of Health, Ageing and Retirement in Europe (SHARE) study waves 1-2 and 4-6 in Denmark and Sweden for the age group 50-59 years (N=5384) was used to analyse changes in employment rates and benefits among people with different levels of health before, during and after disability benefit reforms. Interaction between time and health in relation to employment versus permanent or temporary benefits was used as a criterion for whether our hypotheses was confirmed., Results: Overall, employment rates have increased in the age group, but only among the healthy. The OR for receiving temporary or no benefits increased from 1.25 (95% CI: 0.81 to 1.90) before to 1.73 (95% CI: 1.14 to 2.61) after policy reforms for the 29% with moderate health problems and from 2.89 (95% CI: 1.66 to 5.03) to 6.71 (95% CI: 3.94 to 11.42) among the 11% with severe health problems. The interaction between time and health was statistically significant (p<0.001)., Conclusion: People with impaired health and workability are forced into a life with temporary means-tested or no benefits when pressed by rising work demands and stricter disability benefit eligibility criteria., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: We compared mortality inequalities by occupational class in Japan and South Korea with those in European countries, in order to determine whether patterns are similar., Methods: National register-based data from Japan, South Korea and eight European countries (Finland, Denmark, England/Wales, France, Switzerland, Italy (Turin), Estonia, Lithuania) covering the period between 1990 and 2015 were collected and harmonised. We calculated age-standardised all-cause and cause-specific mortality among men aged 35-64 by occupational class and measured the magnitude of inequality with rate differences, rate ratios and the average inter-group difference., Results: Clear gradients in mortality were found in all European countries throughout the study period: manual workers had 1.6-2.5 times higher mortality than upper non-manual workers. However, in the most recent time-period, upper non-manual workers had higher mortality than manual workers in Japan and South Korea. This pattern emerged as a result of a rise in mortality among the upper non-manual group in Japan during the late 1990s, and in South Korea during the late 2000s, due to rising mortality from cancer and external causes (including suicide), in addition to strong mortality declines among lower non-manual and manual workers., Conclusion: Patterns of mortality by occupational class are remarkably different between European countries and Japan and South Korea. The recently observed patterns in the latter two countries may be related to a larger impact on the higher occupational classes of the economic crisis of the late 1990s and the late 2000s, respectively, and show that a high socioeconomic position does not guarantee better health., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.)

Background: Despite being comparatively egalitarian welfare states, the Nordic countries have not been successful in reducing health inequalities. Previous studies have suggested that smoking and alcohol contribute to this pattern. Few studies have focused on variations in alcohol-related and smoking-related mortality within the Nordic countries. We assess the contribution of smoking and alcohol to differences in life expectancy between countries and between income quintiles within countries., Methods: We collected data from registers in Denmark, Finland, Norway and Sweden comprising men and women aged 25-79 years during 1995-2007. Estimations of alcohol-related mortality were based on underlying and contributory causes of death on individual death certificates, and smoking-related mortality was based on an indirect method that used lung cancer mortality as an indicator for the population-level impact of smoking on mortality., Results: About 40%-70% of the between-country differences in life expectancy in the Nordic countries can be attributed to smoking and alcohol. Alcohol-related and smoking-related mortality also made substantial contributions to income differences in life expectancy within countries. The magnitude of the contributions were about 30% in Norway, Sweden and among Finnish women to around 50% among Finnish men and in Denmark., Conclusions: Smoking and alcohol consumption make substantial contributions to both between-country differences in mortality among the Nordic countries and within-country differences in mortality by income. The size of these contributions vary by country and sex., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ.)

Background: Social differentials in disability prevalence exist in all European countries, but their scale varies markedly. To improve understanding of this variation, the article focuses on each end of the social gradient. It compares the extent of the higher disability prevalence in low social groups (referred to as disability disadvantage) and of the lower prevalence in high social groups (disability advantage); country-specific advantages/disadvantages are discussed regarding the possible influence of welfare regimes., Methods: Cross-sectional disability prevalence is measured by longstanding health-related activity limitation (AL) in the 2009 European Statistics on Income and Living Conditions (EU-SILC) across 26 countries classified into four welfare regime groups. Logistic models adjusted by country, age and sex (in all 30-79 years and in three age-bands) measured the country-specific ORs across education, representing the AL-disadvantage of low-educated and AL-advantage of high-educated groups relative to middle-educated groups., Results: The relative AL-disadvantage of the low-educated groups was small in Sweden (eg, 1.2 (1.0-1.4)), Finland, Romania, Bulgaria and Spain (youngest age-band), but was large in the Czech Republic (eg, 1.9 (1.7-2.2)), Denmark, Belgium, Italy and Hungary. The high-educated groups had a small relative AL-advantage in Denmark (eg, 0.9 (0.8-1.1)), but a large AL-advantage in Lithuania (eg, 0.5 (0.4-0.6)), half of the Baltic and Eastern European countries, Norway and Germany (youngest age-band). There were notable differences within welfare regime groups., Conclusions: The country-specific disability advantages/disadvantages across educational groups identified here could help to identify determining factors and the efficiency of national policies implemented to tackle social differentials in health., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Study Objective: Health expectancy is arrived at by dividing life expectancy into average lifetime in different states of health. The purpose of the study was to estimate health expectancy among never smokers and smokers in groups at high, medium, and low educational levels in Denmark., Design: Life tables for never smokers and smokers with a high, medium, and low educational level were constructed on the basis of Statistics Denmark registers and combined with data from the Danish Health Interview Survey 2000. Health expectancy was calculated by Sullivan's method., Main Results: Life expectancy at age 30 differs on average by 8.5 years between never smokers and heavy smokers. Expected lifetime in self rated good health was 39.4 years for a never smoking man corresponding to 82.0% of the rest of his life. For male lifelong heavy smokers these figures were reduced to 27.3 years and 69.2%. The proportion of expected lifetime in self rated good health was 89.5% and 71.3% among male never smokers and lifelong heavy smokers with a high educational level, respectively; and the proportion among male never smokers and heavy smokers with a low educational level was 73.4% and 63.6%, respectively. Similar results were seen as regards expected lifetime without longstanding illness. For women the social gradient in health expectancy was intensified among smokers., Conclusions: Within each educational group smoking reduces expected lifetime in a healthy state. The social gradient in health expectancy cannot be explained by a reverse social gradient in smoking prevalence.

Study Objective: The decline in cardiovascular mortality in Denmark during the 1980s has been greatest in the highest socioeconomic groups of the population. This study examines whether the increased social inequality in cardiovascular mortality has been accompanied by a different trend in cardiovascular risk factors in different educational groups., Design: Data from three cross sectional WHO MONICA surveys conducted in 1982-84, 1987, and 1991-92, were analysed to estimate trends in biological (weight, height, body mass index, blood pressure, and serum lipids) and behavioural (smoking, physical activity during leisure, and eating habits) risk factors in relation to educational status., Setting: County of Copenhagen, Denmark., Participants: 6695 Danish men and women of ages 30, 40, 50, and 60 years., Main Results: The prevalence of smoking and heavy smoking decreased during the study but only in the most educated groups. In fact, the prevalence of heavy smoking increased in the least educated women. There was no significant interaction for the remaining biological and behavioural risk factors between time of examination and educational level, indicating that the trend was the same in the different educational groups. However, a summary index based on seven cardiovascular risk factors improved, and this development was only seen in the most educated men and women., Conclusion: The difference between educational groups in prevalence of smoking increased during the 1980s, and this accounted for widening of an existing social difference in the total cardiovascular risk.

Study Objective: Prevent is a public health model for estimating the effect on mortality of changes in exposure to risk factors. When the model is tested by simulating a development that has already taken place, the results may differ considerably from the actual situation. The purpose of this study is to test the Prevent model by applying it to a synthetic cohort in which the development is unaffected by concealed factors., Design: A micro-simulation model was developed to create basic data for Prevent and give "exact" results as to changes in risk factor prevalences and mortality. The estimates of Prevent simulations were compared with the "exact" results., Main Results: Modelling one risk factor related to a cause specific mortality gave fairly similar results by the two methods. Including two risk factors Prevent tends slightly to overestimate the health benefits of prevention., Conclusions: The differences between the "exact" mortality and the Prevent estimates will be small for realistic scenarios and Prevent provide reasonable estimates of the health benefits of prevention.